Several supervised algorithms were examined in the literature, including
Support Vector Mchine (SVM) [1]}, [2]}, [3]}, NB [1]}, [5]}, [6]}, K-nearest neighbor algorithm (KNN) [1]}, [8]},
Logistic Regression
(LR) [2]}, [10]}, [3]}, Decision Tree (DT) classifier [2]}, [13]}, and Extreme Gradient Boost (XGBoost) algorithm [2]}, [15]}, [16]}. Time-aware Long Short-Term MemoryLSTM (T-LSTM) was used to propose Suicidality Assessment Time-Aware Temporal Network (STATENet)[17]}. Convolutional Neural networks (CNN) and Recurrent Neural Networks (RNN) were also used to classify suicidal posts.
